291 data-"https:"-"https:"-"https:"-"https:"-"Linköping-University"-"IFM" positions at Monash University
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support committees, coordinate meetings, and ensure smooth operations, while demonstrating advanced computer literacy in systems such as TRIM and Visio. About Monash University At Monash , work feels
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under pressure while maintaining accuracy and professionalism. A strong communicator with discretion, you build trusted relationships and handle sensitive information with care. You’re an analytical
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compliance with privacy, confidentiality, and regulatory requirements, including student visa processes. It involves the accurate input, analysis, and management of data and records, providing sound and timely
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quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology with strong statistical training. You can check your eligibility with the PhD readiness
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-centred, data-driven solutions that shift trips from cars to active and sustainable modes of transport – improving health and safety, tackling climate change and bringing local streets to life. We work in
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health economics, labour economics, economics and econometrics. We will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science or public health
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum materials Quantum energy
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This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly in scenarios involving sensitive or confidential data